News

Meet The Smart Contact Lenses Powered By Tears

Researchers in Singapore have revolutionized the humble contact lens with self-charging smart capabilities.

Published

3 years ago

October 30, 2023

Nour Nasir

meet the smart contact lenses powered by tears

NTU Singapore

Contact lenses have been used to successfully correct vision for decades, but recently, they’re beginning to evolve into something much more interesting.

Researchers from the Nanyang Technological University (NTU) in Singapore have developed a tiny micrometer-thin battery that can power futuristic smart contact lenses that rely on the wearer’s tears for power.

Although smart contacts are nothing new, most attempts so far have relied on thin batteries with tiny induction coils and wires. Obviously, these metal parts aren’t ideal for a device that sits directly on the wearer’s eye, so an NTU School of Electrical and Electronic Engineering (EEE) research team led by Lee Seok Woo has been working on something better.

According to a press release, the NTU team’s battery uses biocompatible materials coated with a glucose-based layer. The coating reacts with the sodium and chloride ions present in the battery to generate electricity. Since both sodium and chloride ions are also found in tears, the smart lens battery can also be recharged while in use with no additional effort from the wearer.

Speaking about the research, Lee Seok Woo said, “This research began with a simple question: Could contact lens batteries be recharged with our tears? Previous techniques for lens batteries were imperfect, as one side of the battery electrode was charged, and the other was not. Our approach can charge both electrodes of a battery through a unique combination of enzymatic reaction and self-reduction reaction”.

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According to the NTU team, the lenses should be good for a full day of use, and can also be placed in a special solution that keeps the battery charged. “By combining the battery and biofuel cell into a single component, the battery can charge itself without the need for additional space for wired or wireless components. Furthermore, the electrodes placed at the outer side of the smart contact lenses ensure that the eye’s vision cannot be obstructed”.

The NTU scientists are already working on boosting the amount of electricity the lens battery can deliver. Their research has been published in the journal Nano Energy, and they’re also in the process of partnering with contact lens producers to bring the technology to the market.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

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“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.